- Regression 1. Setting up a Regression Model
- Regression 2. Verification of the Model. Checking Over- or Underfitting
- Regression Tree
- Classification with Binary Logistic Regression
- Classification Tree
What you'll learn
- Understand the concept of regression analysis and its applications in predictive modeling.
- Understand the concepts of overfitting and underfitting.
- Learn how to build a regression tree using Minitab.
- Learn how to set up a binary logistic regression model using Minitab.
- Practice building a classification tree and using it for prediction using Minitab.
Description
In this mini-course, "Tasting Machine Learning with Minitab Predictive Analytics", you will gain an introduction to the world of predictive analytics and machine learning using Minitab statistical software.
Through five lectures, you will learn about regression analysis and classification, two fundamental techniques in predictive modeling. In the first two lectures, you will learn how to set up and verify regression models, as well as how to identify and address potential issues with overfitting or underfitting. In Lecture 3, you will explore regression trees, which are a powerful alternative to linear regression when the relationship between variables is non-linear.
In Lecture 4, you will delve into binary logistic regression, which is a technique used for predicting binary outcomes (such as "yes" or "no" responses). You will learn how to set up and evaluate a binary logistic regression model. Finally, in Lecture 5, you will discover classification trees, which are a type of decision tree used to classify objects or cases into different categories. You will learn how to build and interpret classification trees, and use them for prediction.
By the end of this mini-course, you will have gained practical experience in building and evaluating regression and classification models using Minitab, and an understanding of how these techniques can be applied in various real-world scenarios. Whether you are new to machine learning or looking to expand your knowledge, this mini-course is an excellent opportunity to explore the basics of predictive analytics with Minitab.
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About the instructors
- 4.32 Calificación
- 16286 Estudiantes
- 5 Cursos
László Bognár
Professor of Applied Statistics
Engineer and mathematician teaching different subjects of Engineering and Mathematics for more than 20 years at a University in Hungary. Beside teaching he is intensively involved in industrial projects as a consultant or as a structural designer. His special fields are Machine Learning in Education, Quality Statistics, Statistical Process Control, Multivariate Statistical Analysis and Stochastic Processes. He was elected to the President of the Chamber of Engineers in Fejér county and holds several awards. He served as the rector of the College of Dunaújvaros for 8 years.
Student feedback
Course Rating
Reviews
Well curated and great demonstration of machine learning with Minitab!! Recommended for all data scientist and Machine learning enthusiasts!!
It is a very interesting subject. It's insightful, understandable. The animations are very good. The presentation style is excellent, understandable. I would recommend the course to anyone who wants to get a quick and efficient insight into the world of ML.
It is excellent material on the basics of machine learning and gives a very solid foundation for the professionals
Very good study material! This helps me a lot. Super!
Perfect.